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Why the data protection is important in study in making an application? 


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Data protection is important in the study of making an application because data is a valuable resource for organizations and its security and privacy are essential for its effective use . With the increasing use of network technologies and the internet, the risk of data theft and misuse has also increased . Therefore, implementing security measures such as encryption can help ensure that data remains safe and protected from unauthorized access . Additionally, the use of digital certificates and network information security platforms can provide a reliable framework for protecting data integrity and ensuring client safety . In the context of Android applications, data protection is crucial to prevent data duplication attacks and unauthorized access to sensitive information . Overall, data protection is necessary to safeguard sensitive information, maintain privacy, and prevent potential security breaches in applications .

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Book ChapterDOI
Jinseong Kim, Im Y. Jung 
18 Dec 2017
2 Citations
The paper does not explicitly mention why data protection is important in the study of making an application. The paper focuses on proposing a framework to protect Android applications against data duplication attacks.
The paper does not provide a direct answer to the query. The paper discusses the importance of information protection for massive volumes of data and network security solutions, but it does not specifically mention why data protection is important in making an application.
The paper does not explicitly mention why data protection is important in making an application. The paper primarily focuses on the application of digital certificates in network information security and data integrity.
Data protection is important in making an application to secure data from theft and misuse by encrypting and decrypting it, ensuring the safety of the data stored in the database.
The paper discusses the importance of data security and protection in applications, particularly in areas such as national insurance, counter-terrorism, and well-being.

Related Questions

What is data protection?5 answersData protection refers to the process of safeguarding important information from corruption, compromise, or loss. It encompasses traditional data protection, data security, and data privacy. Data privacy defines who has access to data, while data protection provides tools and policies to restrict access. Personal data has become a valuable asset in the digital economy, leading to debates about the free flow of personal data across borders and the line between data protection and protectionism. Data protection is crucial for the development of a digital economy, and privacy protection and identity management are critical aspects. The General Data Protection Regulation (GDPR) is an EU legislative instrument that aims to standardize legislation on the processing of personal data and reinforce security and trust for data subjects. Additionally, data protection methods, such as write filter processes, can be implemented in data storage devices to protect specific data by prohibiting its movement.
What is the important of employee data protection?3 answersEmployee data protection is important due to several reasons. Firstly, the increased use of digital tools and technology in the workplace has led to a significant amount of personal data being collected and processed by employers, which can pose a threat to employees' privacy and security. Secondly, the development of various means of monitoring and control by employers has created the need for legislation to protect individuals from undesired data processing. Additionally, the unauthorized placement of personal data on the internet and the use of personal data from social networks without consent have become more frequent, necessitating the criminalization of significant harm to individuals' rights and interests. Furthermore, the sharing of employee health data within workplaces can lead to negative consequences such as loss of privacy and stigmatization, highlighting the need for enforceable protection of such data. Lastly, employers have a legal obligation to protect the personal data and privacy of their employees, as well as ensure cyber security in the workplace.
What are the main principles of data protection law?5 answersThe main principles of data protection law include the protection of fundamental rights, such as the right to privacy and the right to data protection. These principles aim to balance the individual's privacy rights with the proper use of data. The General Data Protection Regulation (GDPR) emphasizes principles such as lawfulness, fairness, and transparency; purpose limitation; and data accuracy. These principles require a balancing act between the interests of data subjects and data controllers, taking into account the impact of data processing on vulnerable individuals. Additionally, data protection laws aim to ensure the security and integrity of personal data, preventing unauthorized access and data breaches.
How important is data storage to protect company's data?5 answersData storage is crucial for protecting a company's data. With the widespread adoption of the internet of things and the generation of massive amounts of data, it is increasingly important to store and protect this data from attacks. Cloud computing has provided business organizations with a data storage facility that helps overcome the burden of storage and maintenance. Additionally, distributed cloud applications enable the analysis of this data for making informed decisions. Implementing rules and safeguards for data storage is essential at every step of the process. By setting permissions and creating protected data storage spaces, faulty operations and unauthorized access to protected data can be avoided. Different safety level identifications can be assigned to different data, allowing for storage in systems with varying levels of security. Overall, data storage plays a vital role in protecting a company's data from vulnerabilities and ensuring its integrity and confidentiality.
How to protect data?4 answersData can be protected through various methods. One approach is to classify the data based on its sensitivity, which can serve as a foundation for implementing security controls such as access control programs and encryption algorithms. Another method involves storing protected data in a special partition to prevent accidental deletion and provide prompt information to the user about the protected status of the data. Additionally, data can be protected by dividing it into multiple target files and storing them in different locations, making it difficult for unauthorized individuals to access the complete data. In the context of research data sharing, privacy protection is crucial, and researchers should assess the risk of re-identification before sharing sensitive data. Furthermore, active data objects can be used to protect data by providing executable code that depletes resources when accessed in violation of constraint conditions.
How are our data protected?5 answersDie Datenschutzmethoden variieren je nach Kontext. Ein Ansatz besteht darin, die Ausgangsdaten in mehrere Zieldateien aufzuteilen, die jeweils einen anderen Teil der Daten enthalten, und diese auf verschiedene Speichersysteme zu übertragen. Eine andere Methode, bekannt als DataShield, schützt einzelne Daten mithilfe von Integrationsverfahren, die auf zusammenfassenden Statistiken basieren, und berücksichtigt die Heterogenität zwischen den Studien. Wasserzeichen sind eine weitere Technik, die zum Schutz von Daten verwendet wird, wobei wichtige Eigenschaften wie die nächsten Nachbarn und die Mindestanzahl der Bäume erhalten bleiben. Darüber hinaus können fehlerschützende Codes zur Verschlüsselung und Übertragung von Daten verwendet werden, wodurch Dämpfung verhindert und die Zuverlässigkeit erhöht wird. Schließlich sollten Datenschutz und Sicherheit Hand in Hand angestrebt werden, indem international anerkannte Mechanismen wie die Grundsätze des fairen Datenschutzes zum Schutz und zur verantwortungsvollen Nutzung von Daten genutzt werden.